Last seen August 6, 2025

AI Security Vulnerability

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.

Technical Severity
Low severity
Lifecycle Status

RESOLVED

Sources

What Happened

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.

Why This Matters

Current evidence identifies a security issue involving Hugging Face Transformers, but does not yet support a more specific impact claim.

Recommended Action

No confirmed vendor remediation is available in the current evidence. Identify deployments of Hugging Face Transformers matching the evidenced affected versions: 4.51.3.

Exposure

My Interests Exposure

Exposure unknown

Recommended Response
Last Seen

Aug 06, 2025 18:01

Exposure reason: This incident does not currently match a technology in My Interests.

Exploitation status: UNKNOWN

Affected versions: 4.51.3

Primary entities:

Remote Code ExecutionvulnerabilityHugging Face TransformersReDoSRegular Expression DenialService

Timeline

  • Incident first seen
    Aug 06, 2025 18:01

    BugSkan first recorded this incident.

  • Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability
    Aug 06, 2025 18:01

    GitHub Advisory Database · Research

Sources

Hugging Face Transformers Regular Expression Denial of Service (ReDoS) vulnerability

GitHub Advisory Database · Aug 06, 2025 18:01

A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.

Open publisher source

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